Findings Flashcards

Learn the main findings from key studies in the field

1
Q

Costa Dias (2020)

A

The gender pay gap in the UK: children and experience in work

UK
Last 30 years
Fertility
Experience
Labour supply
Empirical wage model
Impact on women’s pay of additional experience
‘Simulate two counterfactual scenarios’ where women work full-time, or are just as likely to be in full/part-time jobs as men
‘Up to 2/3’ pay gap for graduates 20y after first child born attributed to ‘differences in working experience’, especially full-time work
1/3 ‘overall long-term gender wage gap’ without degree explained by differences in experience

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2
Q

Goldin (2014)

A

Change job market, ‘esp how jobs are structured and remunerated to enhace temporal flexibility’

Firms shouldn’t have ‘incentive[s] to disproportionately reward’ workers according to their schedules

[Freakonomics] Schools should open longer hours with fewer holidays

‘Corporate, financial, legal’ sectors must catch up with ‘technology, science, health’

‘Government intervention’ may be unnecessary

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3
Q

Charles & Guryan (2011)

A

Studying Discrimination: Fundamental Challenges & Recent Progress

Racial prejudice
Market forces
Equilibrium

‘[M]ost racially prejudiced’ white workers ‘sort[ed] […] away from the objects of their prejudice’ by ‘market forces’

Black workers’ ‘equilibrium’ welfare depends on ‘most-prejudiced white’ worker they come into contact with

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4
Q

Aigner and Cain (1977)

A

‘Discrimination arises if employers find it easier to assess the productivity of minority group and are risk averse’ [slides]

‘Skills endogenously determined’ [slides]

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5
Q

Lundberg and Startz (1983)

A

‘Minority workers obtain fewer skills despite having equal innate ability and identical costs of acquiring skills and are accordingly paid less’ [slides]

‘Skills endogenously determined’ [slides]

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6
Q

Holt (2008)

A

Statistical discrimination can arise ‘without bias’, creating a vicious ‘cycle of low expectations and low achievement’

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7
Q

Neal & Johnson (1996)

A

The role of pre-market factors in black-white wage differences

Productivity
Skills
‘Parsimoniously specified wage equation’
End-of-high school test
WAGE GAP MAINLY DUE TO SKILLS GAP
‘[…]this one test score explains all of the black-white wage gap for young women and much of the gap for young men’
Gap due to ‘family background’ and ‘school environments’
‘[…]research should focus on the obstacles black children face in acquiring productive skill’

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8
Q

Cahuc et al (2014)

A

Discrimination still exists after controlling for ‘premarket factors’

Skills - AFQT scores
Education - years of schooling
Wage equation
Selection bias

Neal and Johnson (1996)
Lang and Manove (2011)

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9
Q

Neumark et al (1996)

A

Sex discrimination in restaurant hiring: An audit study

Women 35% less likely to be invited to interview, and 40% less likely to receive an offer at high-price restaurant

Audit study
Philadelphia, US
Customer vs hiring discrimination
Statistical discrimination
Identical CVs (with name and sex changed) given to high- and low-price restaurants
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10
Q

Bertrand & Mullainathan (2004)

A

Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination

Correspondence study
Boston & Chicago
4 categories: sales, admin support, clerical services, customer services
High & low quality CVs
Name frequency on birth certificates
*‘White names receive 50 percent more callbacks for interviews.’
*‘Callbacks are also more responsive to resume quality for White names than for African-American ones.’
‘The racial gap is uniform across occupation, industry, and employer size.’
‘We also find little evidence that employers are inferring social class from the names.’

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11
Q

Carlsson et al (2014)

A

Does the design of correspondence studies influence the measurement of discrimination?

*Correspondence studies are limited by HS critique
*Perceived variance of groups can influence employer decisions even when taste-based discrimination is not present
Heckman & Siegelman (1993)
Variance
HS critique
Correspondence studies
Graphical representation

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12
Q

Bertrand & Duflo (2016)

A

Field Experiments on Discrimination

Review of audit & correspondence studies
‘Highlight[ing] key gaps in the literature and ripe opportunities for future field work.’

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13
Q

Edelman et al (2017)

A

Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment

Airbnb
Field experiment
*Customers with African-American names were accepted 16% less often than those with white names.
*Discrimination could be reduced by auditing hosts, or making names and photos less visible.

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14
Q

Doleac & Stein (2013)

A

The Visible Hand: Race and Online Market Outcomes

Craigslist

*13% lower sales rate for African-Americans and 17% lower for tattooed white than non-tattooed white sellers
*10% lower price for African-American and tattooed white than non-tattoed white sellers
*Less positive response to delivery proposal for tattooed white and African-American sellers
Rates and bids higher in markets with greater competition, or concentration of African-Americans, and lower in markets experiencing racial segregation or high crime rates

Examining offer rates and bids allow D&C greater insight into extent of discrimination

Limitations:
Sample - Craiglist users (online classified ads)
Ethics
Research design - taste-based or statistical?

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15
Q

Levitt (2004)

A

Testing Theories of Discrimination: Evidence from Weakest Link

Natural experiment
*No discrimination against female or black contestants; statistical against Hispanic
Limitations: artificial environment, revenge, voting based on predicting how others will vote, increased incentives to hide prejudice on national platform

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16
Q

Goldin & Rouse (2000)

A

Orchestrating Impartiality: The Impact of “Blind” Auditions on Female Musicians

US
Natural experiment

*‘The switch to blind auditions can explain 30[%] of the increase in proportion female among new hires and possibly 25[%] of the increase in the percentage female in the orchestras from 1970 to 1996’

Limitations: screen use down to choice

17
Q

Boring (2017)

A

Gender biases in student evaluations of teaching

France
2008-2012
Natural experiment
Statistical discrimination
*Results agree with stereotypes & role contingency theory
Students unable to evaluate actual teaching ability?

18
Q

Cook et al (2020)

A

The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers

US cities (inc. Chicago)
No discrimination
*Experience, location & speed explain whole wage gap
Gig economy
Natural experiment

Limitations: Female drivers different? Experience outside Uber?

19
Q

Glover et al. (2017)

A

Discrimination as a Self-Fulfilling Prophecy: Evidence from French Grocery Stores

France
Taste-based + statistical?
Field experiment?
*[…]biased managers interact less with minorities, leading minorities to exert less effort.’
Statistical discrimination: Higher hiring standards set for minorities as a consequence of their poorer performance under biased managers

20
Q

Reuben et al. (2014)

A

How stereotypes impair women’s careers in science

Implicit bias
Lab experiment
*Employers’ implicit bias, and expectations (based on stereotypes), produce sex discrimination in hiring decisions
Employers fail to account for men’s tendency to overreport performance

Limitations: beauty bias, productivity info from photos, implicit bias stronger in high ability students?

21
Q

Charles & Guryan (2008)

A

Prejudice and Wages: An Empirical Assessment of Becker’s ‘The Economics of Discrimination’

US
1972-2004
Taste-based discrimination
GSS (General Social Survey)
*Prejudice towards black workers accounts for a quarter of the wage gap
‘‘[…] relative black wages (a) vary negatively with the prejudice of the “marginal” white in a state, (b) vary negatively with the prejudice in the lower tail of the prejudice distribution but are unaffected by the prejudice of the most prejudiced persons in a state, and (c) vary negatively with the fraction of a state that is black.’

Limitations: Questions do not fully fit Becker’s conception of prejudice; non-random distribution of prejudice within states

22
Q

Fershtman & Gneezy (2001)

A

Discrimination in a Segmented Society: An Experimental Approach

Israel
Statistical discrimination
Stereotypes
Lab experiment

*Statistical discrimination towards Eastern Jews from Ashkenazic Jews as well as members of their own group, however only observed in men.
Experiments capture discrimination in ways unavailable to survey-based approach typical in sociological studies

Limitations: week-long pay delay, participants all students from a small selection of universities so results may not be generalisable, particularly when produced in artificial environment.

23
Q

Coate & Loury (1993)

A

Will Affirmative-Action Policies Eliminate Negative Stereotypes?

Statistical model
*Wage gap mainly due to skills gap
*Minorities have less incentive to invest in human capital
Skills endogenously determined & not observed by employer